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By Sahil Khan
Building a standardized open-source resource across instrumentation, query, and alerting pipelines to start your monitoring journey with Prometheus.
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By Prathamesh Sonpatki
Winning Replit over by taming High Cardinality data and deprecating Thanos.
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By Aditya Godbole
Modern monitoring systems depend heavily on ‘Alerting’ to reduce the Mean Time to Detect (MTTD) faulty systems. But, alerting hasn’t evolved to meet the demands of modern architectures. We’re changing that with Alert Studio.
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By Last9
The most apt alert rules toolkit for your Prometheus setup. Connect your Prometheus setup. Discover components emitting metrics. Get recommendations of rules to be applied.
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By Last9
Last9 Levitate’s integration with LaunchDarkly enables change intelligence with feature flag events. Visualize the feature flag events as Change Event annotations in Levitate to correlate system health.
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By Last9
Last9 Levitate’s integration with LaunchDarkly enables change intelligence with feature flag events. Visualize the feature flag events as Change Event annotations in Levitate to correlate system health.
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By Last9
Using template variables to insert dynamic values based on labels for use cases like detailed alert descriptions, routing links, etc.
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By Last9
Are you using Prodvana.io for deployments? Send a change event to Levitate for every deployment from Prodvana.
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By Last9
You have probably heard of OpenTelemetry in the context of traces. But did you know OpenTelemetry also supports metrics with a comprehensive, forward-looking data model and SDKs? When it comes to metrics, one thinks of Prometheus, but Otel metrics provide exciting ideas such as cumulative deltas, exponential histograms, and more! This talk will demystify everything about Otel Metrics, from the data model to APIs to how to get started. We will cover the differences between Otel Metrics and Prometheus and explain the reasons why people get excited about using Otel Metrics.
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By Last9
The Indian Premier League is a unique sporting event for a dozen reasons. But for engineers in India, it’s one of a kind. Very few companies can boast of managing 30+ million concurrent users. Every year, this number grows. Last year, we witnessed ~60 million concurrent users. And things get bigger and larger every year.
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By Last9
Predicting the future is hard, especially with metrics-based monitoring systems, because metrics cardinality can snowball. This is important because it affects query performance adversely. Having visibility into what’s happening now and workflows to manage cardinality is crucial. Because the answers depend on the quality of questions, a system allows you to ask. The questions one may have is —
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By Last9
We have Carson Anderson, Sr. DevOps Engineer at Weave HQ, talking about how they implemented SLOs using Prometheus, what went wrong, and how they fixed it. This talk was given at "Last9 of Reliability" Discord community on 13th December. Talk Description: First thing's first: Yes, it really did take us 5 tries to implement our SLOs with Prometheus. While that may seem embarrassing, we are very happy to be able to share our SLO journey so that we can hopefully help you avoid the same mistakes.
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Last9 provides tools to improve Reliability in large-scale cloud-native environments.
Our open-standards-based tools provide visibility into the Rube Goldberg of micro-services. We take away the toil of managing a time series database by dramatically reducing your costs and improving developer productivity.
Levitate is our time series metrics & events warehouse designed for scale and high cardinality. Our warehousing capabilities provide necessary control levers to ensure cost-efficient data growth management, surpassing traditional storage solutions.
Start your observability journey today with Levitate. A Managed Time Series Data Warehouse that SREs trust.